Taylor Ronald C, Singhal Mudita, Daly Don S, Gilmore Jason, Cannon William R, Domico Kelly, White Amanda M, Auberry Deanna L, Auberry Kenneth J, Hooker Brian S, Hurst Greg, McDermott Jason E, McDonald W Hayes, Pelletier Dale A, Schmoyer Denise, Wiley H Steven
Computational Sciences and Mathematics Division, Pacific Northwest National Laboratory (US Department of Energy), Richland, WA 99352, USA.
Int J Data Min Bioinform. 2009;3(4):409-30. doi: 10.1504/ijdmb.2009.029204.
We present a platform for the reconstruction of protein-protein interaction networks inferred from Mass Spectrometry (MS) bait-prey data. The Software Environment for Biological Network Inference (SEBINI), an environment for the deployment of network inference algorithms that use high-throughput data, forms the platform core. Among the many algorithms available in SEBINI is the Bayesian Estimator of Probabilities of Protein-Protein Associations (BEPro3) algorithm, which is used to infer interaction networks from such MS affinity isolation data. Also, the pipeline incorporates the Collective Analysis of Biological Interaction Networks (CABIN) software. We have thus created a structured workflow for protein-protein network inference and supplemental analysis.
我们展示了一个用于重建从质谱（MS）诱饵-猎物数据推断出的蛋白质-蛋白质相互作用网络的平台。生物网络推断软件环境（SEBINI）是一个用于部署使用高通量数据的网络推断算法的环境，构成了该平台的核心。SEBINI中众多可用算法之一是蛋白质-蛋白质关联概率贝叶斯估计器（BEPro3）算法，它用于从此类MS亲和分离数据推断相互作用网络。此外，该流程还整合了生物相互作用网络的集体分析（CABIN）软件。因此，我们创建了一个用于蛋白质-蛋白质网络推断和补充分析的结构化工作流程。
